Triple
T17569173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ClosedRange |
E427890
|
entity |
| Predicate | genericConstraint |
P58313
|
FINISHED |
| Object | Bound : Comparable |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bound : Comparable | Statement: [ClosedRange, genericConstraint, Bound : Comparable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genericConstraint Context triple: [ClosedRange, genericConstraint, Bound : Comparable]
-
A.
constrainedBy
Indicates that one entity’s state, behavior, or possibilities are limited, restricted, or governed by another entity.
-
B.
designedToConstrain
Indicates that one entity is intentionally created or configured to limit, restrict, or control the behavior, range, or properties of another entity.
-
C.
hasFormalConstraint
chosen
Indicates that an entity is governed or restricted by an explicitly defined formal rule, condition, or limitation.
-
D.
legalConstraint
Indicates that one entity imposes or is subject to a rule, restriction, or requirement defined by a legal or regulatory framework in relation to another entity or action.
-
E.
massConstraintType
Indicates the specific kind or category of restriction applied to an entity’s mass within a system or model.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592f29d08190bc3de905d35af849 |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.